An automatic RFID detection based railway identification system

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publicationISPCE 2018 - IEEE Symposium on Product Compliance Engineering, Proceedings
PublisherIEEE
ISBN (Electronic)978-1-5386-3432-5
Publication statusPublished - May 2018

Conference

Title15th IEEE Symposium on Product Compliance Engineering, ISPCE 2018
PlaceUnited States
CitySan Jose
Period14 - 16 May 2018

Abstract

Railway safety is a very complicated subject, which is determined by numerous aspects. In Hong Kong, with increasing patronage and traffic density of MTR Railway System, public attention is focused much more on the rail integrity. This paper proposed an automatic RFID detection based railway identification system (RVI) to give the risk assessment to the rail. In the RVI system, RFID detection is applied. In addition, Monte Carlo analysis is applied to select the best position for RFID tags. A trial has considered simulated situation of Hong Kong MTR. The trail involved 8 scenarios, which achieved 89% detection success rate. RVI system helps to enhance the reliability, accuracy and efficiency of remote condition monitoring of rail integrity.

Research Area(s)

  • Monte Carlo analysis, Railway integrity, RFID detection, Risk assessment

Citation Format(s)

An automatic RFID detection based railway identification system. / ZHU, Hongxu; Tsang, Kim Fung; Wu, Chung Kit; Chi, Hao Ran.

ISPCE 2018 - IEEE Symposium on Product Compliance Engineering, Proceedings. IEEE, 2018.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)